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Task-specific image quality metrics for lossy compression of FLIR images

机译:特定于任务的图像质量指标,用于FLIR图像的有损压缩

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Abstract: In this paper we evaluate two lossy compression methods, JPEG and SPIHT, using a metric computation system which evaluates the distortion effects of lossy compression as it affects the task of target segmentation with morphological filtering. Using Forward Looking Infrared Radar images to develop the approach, our goal is to contrast the results of the identical tasks with and without compression using traditional metrics, local/target area traditional metrics, and binary metrics applied to the component representing the selected target mask. Thus, our metrics are specifically targeted to measure the degree of invariance of the processing to the presence of an initial compression- decompression step. The two segmentation methods used are the fuzzy c-means and the median cut.!19
机译:摘要:在本文中,我们使用一种度量计算系统评估了两种有损压缩方法JPEG和SPIHT,该评估系统评估有损压缩的失真效果,因为它会影响形态学过滤的目标分割任务。通过使用前视红外雷达图像来开发该方法,我们的目标是对比使用传统指标,本地/目标区域传统指标以及应用于代表所选目标蒙版的组件的二进制指标进行压缩和不压缩的情况下,相同任务的结果。因此,我们的指标专门针对测量处理对初始压缩-解压步骤的存在的不变程度。所使用的两种分割方法是模糊c均值和中位数割。!19

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